Narrowband interference suppression in CDMA spread spectrum communications

Rusch, Leslie A.; Poor, H. Vincent

doi:10.1109/tcomm.1994.583411

Cited by 165 publications

(92 citation statements)

References 9 publications

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“…In [24] an autoregressive process has been processed by a nonlinear Kalman-Bucy filter. So me other non-linear techniques have been described in [25][26].…”

Section: Related Workmentioning

confidence: 99%

PSO-Based NBI Resistant Asynchronous MCCDMA Multiuser Detector

Kumar¹,

Kaur²

2016

IJISA

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Abstract-Nowadays with the increase of demand in mu ltimed ia co mmunicat ion, a reliable and error-free wireless communication system is the need of the hour. MC-CDMA is being investigated as a potential radio technology to provide fourth generation (4G) and fifth generation (5G) cellular mobile services. Narrowband interference (NBI) signals corrupts the subcarriers of MC-CDMA system and as a result its performance degrades. All the availab le NBI elimination methods uses some kind of filters and other circuitry prior to the demodulator (receiver) to filter out NBI. So addit ion of extra hardware to the system makes the system co mplex and slow. Moreover CDMA based systems are affected by digital NBI which gets superimposed with wideband spread spectrum signal. Multiuser detection could be an efficient technique to suppress NBI and mult iple access interference (MAI). Co mputational co mplexity of optimu m mu ltiuser detector is an impediment in the way of an efficient mu ltiuser detector. In this paper we propose a particle swarm optimization (PSO) based optimu m mu ltiuser detector to eliminate NBI. Simu lation results show that performance of proposed PSO based mult iuser detector is capable of eliminating NBI with much lesser amount of computational complexity.

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“…In [24] an autoregressive process has been processed by a nonlinear Kalman-Bucy filter. So me other non-linear techniques have been described in [25][26].…”

Section: Related Workmentioning

confidence: 99%

PSO-Based NBI Resistant Asynchronous MCCDMA Multiuser Detector

Kumar¹,

Kaur²

2016

IJISA

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“…The architecture of the one-sided adaptive ACM filter [30] is shown in Figure 55. The output of the N-tap transversal filter provides the interference estimatē…”

Section: Adaptive Acm Filtermentioning

confidence: 99%

“…Disadvantages apparent from are the requirements to estimate the parameters c and σ 2 z and to compute or store the tanh function. At the cost of additional complexity and delay, a nonlinear adaptive interpolator [30] gives a slight performance gain. The preceding linear and nonlinear methods are primarily predictive methods that exploit the inherent predictability of narrowband interference.…”

Section: Adaptive Acm Filtermentioning

confidence: 99%

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Direct-Sequence Communication Systems

Torrieri¹

2004

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Approved for public release; distribution unlimited. ii REPORT DOCUMENTATION PAGEForm Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY) March 2004 REPORT TYPE ARL-TR-3175 SPONSOR/MONITOR'S ACRONYM(S) 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)U.S. Army Research Laboratory 2800 Powder Mill Road Adelphi, MD 20783-1197 SPONSOR/MONITOR'S REPORT NUMBER(S) DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution unlimited. SUPPLEMENTARY NOTES ABSTRACTThis report presents a comprehensive review of the state of the art of direct-sequence communication systems. Although it is largely self-contained mathematically, the report presumes a thorough understanding of modern digital communications. To limit the report to approximately 200 pages, only the most vital aspects of the theory are emphasized, but the cited references provide many details and minor topics. SUBJECT TERMS PrefaceThis report presents a comprehensive review of the state of the art of direct-sequence communication systems. Although it is largely self-contained mathematically, the report presumes a thorough understanding of modern digital communications. To limit the report to approximately 200 pages, only the most vital aspects of the theory are emphasized, but the cited references provide many details and minor topics. Sections 1 and 2 cover the basic definitions and concepts and the fundamental properties of spreading sequences. Sections 3 and 4 derive the symbol error probabilities of coherent systems in the presence of tone or Gaussian interference. Methods of suppressing pulsed interference are analyzed in Section 5. In Section 6, the role of matched filters in direct-sequence systems is examined. Code synchronization, which is the most significant issue in the design of direct-sequence systems, is analyzed in Section 7. Several supplementary methods of rejecting narrowband interference are presented in Section 8. The detection of the existence of a direct-sequence signal by both an ideal receiver and the more practical wideband radiometer are analyzed in Section 9. Section 10 explains and develops the theory of direct-sequence code-division multi...

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“…Many papers had talked about the adaptive filter, such as [5], but there seems to be practically no studies were talking under oversampling conditions. And we will launch our research under such conditions.…”

Section: Introductionmentioning

confidence: 99%

An Improved Algorithm of Narrow-Band Interference Rejection Based on Time-Domain Adaptive Filtering in DSSS System

Ruijun¹,

Hao²,

Li³

et al. 2017

Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)

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Abstract. In Direct sequence spread spectrum (DSSS) communication system, the auto-correlation of Pseudo-Noise Code is weak while the auto-correlation of Narrow-Band Interference (NBI) is strong, so that the NBI is more predictable than the DSSS signal. The principle of time-domain anti-interference is the auto-correlation difference between DSSS signal and NBI. However, due to the existence of oversampling in the transmitter, the auto-correlation of DSSS signal increases significantly, and the difference of auto-correlation between DSSS signal and NBI will diminish. And then the traditional time-domain adaptive filter will introduce distortion to the DSSS signal in rejection of the NBI. In this paper, an improved time-domain adaptive filtering algorithm is proposed. This algorithm is based on the interpolating transversal filter and the Least-mean-square (LMS) algorithm for updating the weights adaptively. Its anti-interference ability gains about 10dB than the traditional adaptive filter under the situation of SNR/chip is greater than 50dB. Both theoretical analysis and simulations illustrate that the new algorithm has a stronger anti-interference ability and introduces less distortion to the signal under high SNR conditions. Meanwhile, it has similar performance with the traditional adaptive filter under low SNR conditions.

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Narrowband interference suppression in CDMA spread spectrum communications

Cited by 165 publications

References 9 publications

PSO-Based NBI Resistant Asynchronous MCCDMA Multiuser Detector

PSO-Based NBI Resistant Asynchronous MCCDMA Multiuser Detector

Direct-Sequence Communication Systems

An Improved Algorithm of Narrow-Band Interference Rejection Based on Time-Domain Adaptive Filtering in DSSS System

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